Building on its 40 years of experience in measurement, Novika adds applied AI expertise to develop automated inspection systems that achieve very high levels of accuracy and rapid execution.
For example, in the wood industry, product quality assessment and grading most often rely on the expertise of trained employees. These employees must quickly identify any defects and determine whether they affect the product’s grade. With high production rates, errors are inevitable, especially after several hours of work.
To provide a simple and productive solution, the Novika team has developed a technology based on deep learning techniques, including convolutional neural networks (CNNs), to analyze images of wood components. The neural networks are trained to locate and evaluate anomalies such as knots, cracks, and holes, enabling rapid and accurate defect detection.
This approach improves the commercial value of products derived from raw materials, reduces waste, ensures more efficient quality control, and minimizes losses due to errors in materials inspection.
Novika thus provides its partners with a highly effective solution that can be implemented in a variety of industrial infrastructures.
